From 61f724233dbf807cbddfd06e45b43858cfb9d8b1 Mon Sep 17 00:00:00 2001 From: Eric Kooistra <kooistra@astron.nl> Date: Thu, 2 May 2024 17:19:07 +0200 Subject: [PATCH] Update list of ipynb. --- applications/lofar2/model/pfb_os/README.txt | 24 +++++++++++++++------ 1 file changed, 18 insertions(+), 6 deletions(-) diff --git a/applications/lofar2/model/pfb_os/README.txt b/applications/lofar2/model/pfb_os/README.txt index 011e8e527f..2dc39328c1 100644 --- a/applications/lofar2/model/pfb_os/README.txt +++ b/applications/lofar2/model/pfb_os/README.txt @@ -13,7 +13,7 @@ Author: Eric Kooistra, nov 2023 can not exactly reproduce the actual LOFAR1 coefficients, therefore these are loaded from a file Coeffs16384Kaiser-quant.dat -* Try low pass filter design methods using windowed sync, firls, remez [3] +* Try low pass filter design methods using windowed sync, firls, remez [4] The windowed sync method, firls leased squares method and remez method all yield comparable results, but firls and remez perform slightly better near the transition band. The firls and remez functions from scipy.signal use @@ -27,8 +27,20 @@ Author: Eric Kooistra, nov 2023 [1] dsp_study_erko.txt, summary of DSP books [2] pyfda, dsp, at https://github.com/chipmuenk -[3] Try FIR filter design methods - * dsp.py import for Python jupyter notebooks - * filter_design_firls.ipynb - * filter_design_remez.ipynb - * filter_design_windowed_sync.ipynb +[3] dsp.py import for Python jupyter notebooks +[4] python jupyter notebooks + * Try FIR filter design methods + - rectangular_window_and_ideal_lpf.ipynb + - filter_design_windowed_sync.ipynb + - filter_design_firls.ipynb + - filter_design_remez.ipynb + * Try Hilbert transform + - hilbert_transform_design.ipynb + - hilbert_transform_application.ipynb + * Try IIR filter design methods + - iir_filter.ipynb + * Try multirate processing + - up_down_sampling.ipynb + - narrowband_noise_generator.ipynb + * Try polyphase filterbanks + - one_pfb.ipynb -- GitLab